导读: 迁移数据库的文件到不同路径 1.选择迁移的数据文件: D:/ORACLE/ORADATA/SUN/TEST.ORA http://www.sosdb.com/jdul/dispbbs.asp?boardID=1ID=219page=3 create table name (name varchar2(10)) tablespace test; (1) No Archive Mode (A)迁移数据文件 1
导读:迁移数据库的文件到不同路径
<p><font>1.选择迁移的数据文件: <br>D:/ORACLE/ORADATA/SUN/TEST.ORA </font><br><br>http://www.sosdb.com/jdul/dispbbs.asp?boardID=1&ID=219&page=3 </p><br><p>create table name <br>(name varchar2(10)) <br>tablespace test; </p><br><p>(1) No Archive Mode </p><br><p>(A)迁移数据文件 <br>1.看表所在的表空间与数据文件: <br>select d.name , t.name <br>from <br>v$datafile d , v$tablespace t <br>where <br>d.ts#=t.ts#; </p><br><p>2.alter tablespace test offline; <br>move D:/ORACLE/ORADATA/SUN/TEST.ORA D:/oracle/move/TEST.ORA </p><br><p>3. <br>alter database rename file 'D:/ORACLE/ORADATA/SUN/TEST.ORA' to 'D:/oracle/move/TEST.ORA'; </p><br><p>4.alter tablespace test online; </p><br><p>5.迁移成功。 </p><br><p>(B)迁移redolog 文件 <br>1.查看Redolog 的文件的位置所在。 <br>select member from v$logfile; </p><br><p>2.选择要迁移的Redolog的位置, 查看Redolog 位置的状态. <br>select g.member, v.status from <br>v$log v , v$logfile g <br>where <br>v.GROUP#=g.GROUP#; </p><br><p>3.如果日志的状态为CURRENT, 切换日志. <br>alter system switch logfile; </p><br><p>4.移动日志文件的位置 <br>move D:/ORACLE/ORADATA/SUN/REDO03.LOG D:/oracle/move/REDO03.LOG </p><br><p>5.数据字典的更名 <br>alter database rename file 'D:/ORACLE/ORADATA/SUN/REDO03.LOG' to 'D:/oracle/move/REDO03.LOG'; </p><br><p>6.进行切换日志的测试. <br>alter system switch logfile; </p><br><p>7.测试成功. </p><br><p>(2) Archive log Model </p><br><p>SQL> startup mount <br>更改数据库为Archive log 模式 <br>SQL> alter database archivelog <br>SQL> archive log start <br>打开数据库 <br>SQL> alter database open </p><br><p>(C)迁移数据文件 <br>1.看表所在的表空间与数据文件: <br>select d.name , t.name <br>from <br>v$datafile d , v$tablespace t <br>where <br>d.ts#=t.ts#; </p><br><p>2.alter tablespace test offline; <br>move D:/ORACLE/ORADATA/SUN/TEST.ORA D:/oracle/move/TEST.ORA </p><br><p>3. <br>alter database rename file 'D:/ORACLE/ORADATA/SUN/TEST.ORA' to 'D:/oracle/move/TEST.ORA'; </p><br><p>4.恢复数据文件 <br>如果数据库文件的状态是 Recover 执行如下语句 (OFFLINE) 不执行 <br>rocover datafile 'D:/oracle/move/TEST.ORA'; </p><br><p>5.上线 <br>alter tablespace test online; </p><br><p>datafile级的为 <br>alter database datafile db1 offline; <br>move db1 db2 <br>alter database rename file db1 to db2 <br>rocover datafile db2; <br>alter database datafile db2 online; </p><br><p><br>(D)Relolog的迁移 <br>1.查看Redolog 的文件的位置所在。 <br>select member from v$logfile; </p><br><p>2.选择要迁移的Redolog的位置, 查看Redolog 位置的状态. <br>select g.member, v.status from <br>v$log v , v$logfile g <br>where <br>v.GROUP#=g.GROUP#; </p><br><p>3.如果日志的状态为CURRENT, 切换日志. <br>alter system switch logfile; </p><br><p>4.移动日志文件的位置 <br>move D:/ORACLE/ORADATA/SUN/REDO03.LOG D:/oracle/move/REDO03.LOG </p><br><p>5.数据字典的更名 <br>alter database rename file 'D:/ORACLE/ORADATA/SUN/REDO03.LOG' to 'D:/oracle/move/REDO03.LOG'; </p><br><p>6.进行切换日志的测试. <br>alter system switch logfile; </p><br><p>7.测试成功.</p><p> </p>

InnoDBBufferPool reduces disk I/O by caching data and indexing pages, improving database performance. Its working principle includes: 1. Data reading: Read data from BufferPool; 2. Data writing: After modifying the data, write to BufferPool and refresh it to disk regularly; 3. Cache management: Use the LRU algorithm to manage cache pages; 4. Reading mechanism: Load adjacent data pages in advance. By sizing the BufferPool and using multiple instances, database performance can be optimized.

Compared with other programming languages, MySQL is mainly used to store and manage data, while other languages such as Python, Java, and C are used for logical processing and application development. MySQL is known for its high performance, scalability and cross-platform support, suitable for data management needs, while other languages have advantages in their respective fields such as data analytics, enterprise applications, and system programming.

MySQL is worth learning because it is a powerful open source database management system suitable for data storage, management and analysis. 1) MySQL is a relational database that uses SQL to operate data and is suitable for structured data management. 2) The SQL language is the key to interacting with MySQL and supports CRUD operations. 3) The working principle of MySQL includes client/server architecture, storage engine and query optimizer. 4) Basic usage includes creating databases and tables, and advanced usage involves joining tables using JOIN. 5) Common errors include syntax errors and permission issues, and debugging skills include checking syntax and using EXPLAIN commands. 6) Performance optimization involves the use of indexes, optimization of SQL statements and regular maintenance of databases.

MySQL is suitable for beginners to learn database skills. 1. Install MySQL server and client tools. 2. Understand basic SQL queries, such as SELECT. 3. Master data operations: create tables, insert, update, and delete data. 4. Learn advanced skills: subquery and window functions. 5. Debugging and optimization: Check syntax, use indexes, avoid SELECT*, and use LIMIT.

MySQL efficiently manages structured data through table structure and SQL query, and implements inter-table relationships through foreign keys. 1. Define the data format and type when creating a table. 2. Use foreign keys to establish relationships between tables. 3. Improve performance through indexing and query optimization. 4. Regularly backup and monitor databases to ensure data security and performance optimization.

MySQL is an open source relational database management system that is widely used in Web development. Its key features include: 1. Supports multiple storage engines, such as InnoDB and MyISAM, suitable for different scenarios; 2. Provides master-slave replication functions to facilitate load balancing and data backup; 3. Improve query efficiency through query optimization and index use.

SQL is used to interact with MySQL database to realize data addition, deletion, modification, inspection and database design. 1) SQL performs data operations through SELECT, INSERT, UPDATE, DELETE statements; 2) Use CREATE, ALTER, DROP statements for database design and management; 3) Complex queries and data analysis are implemented through SQL to improve business decision-making efficiency.

The basic operations of MySQL include creating databases, tables, and using SQL to perform CRUD operations on data. 1. Create a database: CREATEDATABASEmy_first_db; 2. Create a table: CREATETABLEbooks(idINTAUTO_INCREMENTPRIMARYKEY, titleVARCHAR(100)NOTNULL, authorVARCHAR(100)NOTNULL, published_yearINT); 3. Insert data: INSERTINTObooks(title, author, published_year)VA


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